Stephan Hoyer

Stephan Hoyer

Authored Publications
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DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
Yair Schiff
Jeff Parker
Volodymyr Kuleshov
International Conference on Machine Learning (ICML) (2024)
Pushing the Frontiers in Climate Modeling and Analysis with Machine Learning
Veronika Eyring
William D. Collins
Pierre Gentine
Elizabeth A. Barnes
Marcelo Barriero
Tom Beucler
Marc Bocquet
Christopher S. Bretherton
Hannah M. Christiansen
Katherine Dagon
David John Gagne
David Hall
Dorit Hammerling
Fernando Iglesias-Suarez
Marie C. McGraw
Gerald A. Meehl
Maria J. Molina
Claire Monteleoni
Michael Pritchard
David Rolnick
Jakob Runge
Philip Stier
Oliver Watt-Meyer
Katja Weigel
Rose Yu
Laure Zanna
Nature Climate Change, 14 (2024), 916–928
Neural general circulation models for weather and climate
Dmitrii Kochkov
Janni Yuval
Ian Langmore
Jamie Smith
Griffin Mooers
Milan Kloewer
James Lottes
Peter Dueben
Samuel Hatfield
Peter Battaglia
Alvaro Sanchez
Matthew Willson
Nature, 632 (2024), pp. 1060-1066
WeatherBench 2: A benchmark for the next generation of data-driven global weather models
Alex Merose
Ian Langmore
Peter Battaglia
Tyler Russell
Alvaro Sanchez
Vivian Yang
Matthew Chantry
Zied Ben Bouallegue
Peter Dueben
Carla Bromberg
Jared Sisk
Luke Barrington
Aaron Bell
arXiv (2023) (to appear)
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics
Li Li
Ryan Pederson
Ekin Dogus Cubuk
Patrick Francis Riley
Kieron Burke
Phys. Rev. Lett., 126 (2021), pp. 036401
Distributed Data Processing for Large-Scale Simulations on Cloud
Lily Hu
TJ Lu
Yi-fan Chen
2021 IEEE INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY, SIGNAL & POWER INTEGRITY (2021) (to appear)
Machine learning accelerated computational fluid dynamics
Ayya Alieva
Dmitrii Kochkov
Jamie Alexander Smith
Proceedings of the National Academy of Sciences USA (2021)
Machine learning guided aptamer discovery
Ali Bashir
Geoff Davis
Michelle Therese Dimon
Qin Yang
Scott Ferguson
Zan Armstrong
Nature Communications (2021)
Free-Form Diffractive Metagrating Design Based on Generative Adversarial Networks
Jiaqi Jiang
David Sell
Jason Hickey
Jianji Yang
Jonathan A Fan
ACS Nano (2019)